Abstract
The paper presents two new computationally simple algorithms for the protection of power transmission lines during fault conditions. The first method is based on the minimisation of a weighted forgetting factor based error cost function by the use of a fast Gauss-Newton method approach. Further a Hessian matrix approximation is used to produce a fast recursive algorithm, which is immune to random noise, waveform distortion due to DC offsets and increases the speed of convergence and accuracy. The algorithm models the typical time-varying signal and the accompanied distortions due to harmonics and random noise in a manner that will be suitable for real-time apparent impedance estimation. The second approach is based on a phase corrected wavelet transform known as fast discrete S-transform, which unlike the conventional one, uses frequency selection and frequency localised band pass filtering techniques to reduce the computational overhead and makes it suitable for on-line implementation in computing the fault location on an overhead transmission line. Both the proposed schemes are evaluated for the protection of a transmission line in a meshed power system network for a variety of fault types, fault locations, fault resistances, and significant noise in the signal using computer simulation studies.
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More From: Australian Journal of Electrical and Electronics Engineering
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